update model card README.md

README.md

@@ -11,9 +11,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # char-bert-base-uncased
 
-This model is a fine-tuned version of [char-bert-base-uncased/checkpoint-1104144](https://huggingface.co/char-bert-base-uncased/checkpoint-1104144) on the None dataset.
+This model is a fine-tuned version of [char-bert-base-uncased/checkpoint-1472192](https://huggingface.co/char-bert-base-uncased/checkpoint-1472192) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1941
+- Loss: 0.1863
 
 ## Model description
 
@@ -38,7 +38,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 20
 
 ### Training results
 
@@ -59,11 +59,16 @@ The following hyperparameters were used during training:
 | 0.2288        | 13.0  | 1196156 | 0.2004          |
 | 0.2208        | 14.0  | 1288168 | 0.2002          |
 | 0.2152        | 15.0  | 1380180 | 0.1941          |
+| 0.2241        | 16.0  | 1472192 | 0.1940          |
+| 0.2188        | 17.0  | 1564204 | 0.1954          |
+| 0.2132        | 18.0  | 1656216 | 0.1968          |
+| 0.2077        | 19.0  | 1748228 | 0.1887          |
+| 0.2036        | 20.0  | 1840240 | 0.1863          |
 
 
 ### Framework versions
 
-- Transformers 4.18.0.dev0
+- Transformers 4.20.1
 - Pytorch 1.9.0+cu111
-- Datasets 1.18.3
-- Tokenizers 0.11.6
+- Datasets 2.3.2
+- Tokenizers 0.12.1